Knowledge Graphs (KGs) are a structured form of information that underline the relationships between real-world entities [1]}, [2]}, [3]}.
A KG is represented using a set of relational tuples of the form \((h, r, t)\) , where \(r\)  represents the relation between the head entity \(h\)  and the tail entity \(t\) .
For example, the relational tuple (Joe Biden, president-of, US) indicates that the president-of relation holds between Joe Biden and US.
There exists a large number of publicly available and widely used KGs, such as Freebase [4]}, DBpedia [5]}, and YAGO ontology [6]}.
KGs have been effectively applied in various NLP tasks such as, relation extraction [7]}, [8]}, question answering [9]}, [10]}, and dialogue systems [11]}.
However, most KGs suffer from data sparseness as many relations between entities are not explicitly represented [12]}.
